Incident Score: Analysis & Impact (ANYOPEWIN1774686278)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of OpenJS Foundation's Vulnerability and lateral movement inside company's environment.
- Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
- How Rankiteo’s incident engine converts technical details into a normalized incident score.
- How this cyber incident impacts OpenJS Foundation Rankiteo cyber scoring and cyber rating.
- Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
Full Incident Analysis Transcript
In this Rankiteo incident briefing, we review the OpenJS Foundation breach identified under incident ID ANYOPEWIN1774686278.
The analysis begins with a detailed overview of OpenJS Foundation's information like the linkedin page: https://www.linkedin.com/company/openjs-foundation, the number of followers: 9451, the industry type: IT Services and IT Consulting and the number of employees: 30 employees
After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 745 and after the incident was 739 with a difference of -6 which is could be a good indicator of the severity and impact of the incident.
In the next step of the video, we will analyze in more details the incident and the impact it had on OpenJS Foundation and their customers.
On 08 February 2024, Open VSX Marketplace disclosed Supply Chain Attack issues under the banner "Open VSX Marketplace Vulnerability Allowed Malicious Extensions to Bypass Security Scans".
A critical vulnerability in the Open VSX extension marketplace’s pre-publish scanning pipeline, dubbed 'Open Sesame,' allowed malicious extensions to bypass security checks and be published as 'PASSED.' The flaw was a logic error in the scanning service’s boolean return value,...
The disruption is felt across the environment, affecting Open VSX extension marketplace, downstream platforms (e.g., Cursor, Windsurf).
In response, moved swiftly to contain the threat with measures like Patch applied to remove ambiguous boolean logic and enforce explicit failure handling, and began remediation that includes Fixed scanning pipeline to prevent automatic approvals when scans fail; ensured fail-secure behavior.
The case underscores how Resolved, teams are taking away lessons such as Fail-open designs in security systems can collapse critical safeguards under stress. Security-sensitive workflows should default to denial, not approval, when failures occur, and recommending next steps like Implement fail-secure mechanisms in security pipelines, enforce explicit error handling, and conduct stress testing to identify ambiguous failure conditions.
Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.
The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.
MITRE ATT&CK® Correlation Analysis
Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Supply Chain Compromise: Compromise Software Supply Chain (T1195.002) with high confidence (90%), supported by evidence indicating a critical vulnerability in the Open VSX extension marketplace’s pre-publish scanning pipeline and Exploit Public-Facing Application (T1190) with moderate to high confidence (80%), supported by evidence indicating exploitation of logic flaw in pre-publish scanning pipeline. Under the Persistence tactic, the analysis identified Compromise Client Software Binary (T1554) with moderate to high confidence (80%), supported by evidence indicating malicious extensions to bypass security checks and be published as PASSED. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with high confidence (90%), supported by evidence indicating logic flaw in the scanning service’s boolean return value created a fail-open scenario and Masquerading (T1036) with moderate to high confidence (80%), supported by evidence indicating malicious extensions could appear legitimate, posing a supply chain risk. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol (T1048) with moderate confidence (60%), supported by evidence indicating supply chain risk to developers (potential data leaks implied). Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate to high confidence (70%), supported by evidence indicating each upload would exhaust shared database resources, causing scan jobs to fail and Endpoint Denial of Service: Application or System Exploitation (T1499.004) with moderate to high confidence (70%), supported by evidence indicating scan jobs would fail silently under heavy load. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- OpenJS Foundation Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/openjs-foundation/incident/ANYOPEWIN1774686278
- OpenJS Foundation CyberSecurity Rating page: https://www.rankiteo.com/company/openjs-foundation
- OpenJS Foundation Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/anyopewin1774686278-cursor-windsurf-open-vsx-vulnerability-february-2026/
- OpenJS Foundation CyberSecurity Score History: https://www.rankiteo.com/company/openjs-foundation/history
- OpenJS Foundation CyberSecurity Incident Source: https://cyberpress.org/open-vsx-vulnerability/
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf